2018
Efficient Model-Free Learning to Overcome Hardware Nonidealities in Analog-to-Information Converters
ICASSP 2018accepted
This paper considers compressed sensing (CS) in the context of RF spectrum sensing and presents an efficient approach for learning hardware nonidealities in an analog-to-information converter (A2IC). The proposed methodology is based on the learned iterative shrinkage-thresholding algorithm (LISTA),…